Literature DB >> 19652179

The fitness cost of streptomycin resistance depends on rpsL mutation, carbon source and RpoS (sigmaS).

Wilhelm Paulander1, Sophie Maisnier-Patin, Dan I Andersson.   

Abstract

Mutations that cause antibiotic resistance often produce associated fitness costs. These costs have a detrimental effect on the fate of resistant organisms in natural populations and could be exploited in designing drugs, therapeutic regimes, and intervention strategies. The streptomycin resistance (StrR) mutations K42N and P90S in ribosomal protein S12 impair growth on rich medium. Surprisingly, in media with poorer carbon sources, the same StrR mutants grow faster than wild type. This improvement reflects a failure of these StrR mutants to induce the stress-inducible sigma factor RpoS (sigmaS), a key regulator of many stationary-phase and stress-inducible genes. On poorer carbon sources, wild-type cells induce sigmaS, which retards growth. By not inducing sigmaS, StrR mutants escape this self-imposed inhibition. Consistent with this interpretation, the StrR mutant loses its advantage over wild type when both strains lack an RpoS (sigmaS) gene. Failure to induce sigmaS produced the following side effects: (1) impaired induction of several stress-inducible genes, (2) reduced tolerance to thermal stress, and (3) reduced translational fidelity. These results suggest that RpoS may contribute to long-term cell survival, while actually limiting short-term growth rate under restrictive growth conditions. Accordingly, the StrR mutant avoids short-term growth limitation but is sensitized to other stresses. These results highlight the importance of measuring fitness costs under multiple experimental conditions not only to acquire a more relevant estimate of fitness, but also to reveal novel physiological weaknesses exploitable for drug development.

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Year:  2009        PMID: 19652179      PMCID: PMC2766315          DOI: 10.1534/genetics.109.106104

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  34 in total

1.  Effects of environment on compensatory mutations to ameliorate costs of antibiotic resistance.

Authors:  J Björkman; I Nagaev; O G Berg; D Hughes; D I Andersson
Journal:  Science       Date:  2000-02-25       Impact factor: 47.728

2.  Fitness cost of chromosomal drug resistance-conferring mutations.

Authors:  Peter Sander; Burkhard Springer; Therdsak Prammananan; Antje Sturmfels; Martin Kappler; Michel Pletschette; Erik C Böttger
Journal:  Antimicrob Agents Chemother       Date:  2002-05       Impact factor: 5.191

3.  Compensatory adaptation to the deleterious effect of antibiotic resistance in Salmonella typhimurium.

Authors:  Sophie Maisnier-Patin; Otto G Berg; Lars Liljas; Dan I Andersson
Journal:  Mol Microbiol       Date:  2002-10       Impact factor: 3.501

4.  Fusidic acid-resistant EF-G perturbs the accumulation of ppGpp.

Authors:  M Macvanin; U Johanson; M Ehrenberg; D Hughes
Journal:  Mol Microbiol       Date:  2000-07       Impact factor: 3.501

Review 5.  Persistence of antibiotic resistant bacteria.

Authors:  Dan I Andersson
Journal:  Curr Opin Microbiol       Date:  2003-10       Impact factor: 7.934

Review 6.  Signal transduction and regulatory mechanisms involved in control of the sigma(S) (RpoS) subunit of RNA polymerase.

Authors:  Regine Hengge-Aronis
Journal:  Microbiol Mol Biol Rev       Date:  2002-09       Impact factor: 11.056

7.  A regulatory trade-off as a source of strain variation in the species Escherichia coli.

Authors:  Thea King; Akira Ishihama; Ayako Kori; Thomas Ferenci
Journal:  J Bacteriol       Date:  2004-09       Impact factor: 3.490

8.  Positive selection for loss of RpoS function in Escherichia coli.

Authors:  Guozhu Chen; Cheryl L Patten; Herb E Schellhorn
Journal:  Mutat Res       Date:  2004-10-04       Impact factor: 2.433

9.  Biological cost and compensatory evolution in fusidic acid-resistant Staphylococcus aureus.

Authors:  I Nagaev; J Björkman; D I Andersson; D Hughes
Journal:  Mol Microbiol       Date:  2001-04       Impact factor: 3.501

10.  Effects of mutations to streptomycin resistance on the rate of translation of mutant genetic information.

Authors:  T K Gartner; E Orias
Journal:  J Bacteriol       Date:  1966-03       Impact factor: 3.490

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  39 in total

Review 1.  New insights into bacterial adaptation through in vivo and in silico experimental evolution.

Authors:  Thomas Hindré; Carole Knibbe; Guillaume Beslon; Dominique Schneider
Journal:  Nat Rev Microbiol       Date:  2012-03-27       Impact factor: 60.633

2.  Selective advantage of resistant strains at trace levels of antibiotics: a simple and ultrasensitive color test for detection of antibiotics and genotoxic agents.

Authors:  Anne Liu; Amie Fong; Elinne Becket; Jessica Yuan; Cindy Tamae; Leah Medrano; Maria Maiz; Christine Wahba; Catherine Lee; Kim Lee; Katherine P Tran; Hanjing Yang; Robert M Hoffman; Anya Salih; Jeffrey H Miller
Journal:  Antimicrob Agents Chemother       Date:  2011-01-03       Impact factor: 5.191

Review 3.  Mutation--The Engine of Evolution: Studying Mutation and Its Role in the Evolution of Bacteria.

Authors:  Ruth Hershberg
Journal:  Cold Spring Harb Perspect Biol       Date:  2015-09-01       Impact factor: 10.005

Review 4.  Antibiotic resistance and its cost: is it possible to reverse resistance?

Authors:  Dan I Andersson; Diarmaid Hughes
Journal:  Nat Rev Microbiol       Date:  2010-03-08       Impact factor: 60.633

5.  The fitness cost of rifampicin resistance in Pseudomonas aeruginosa depends on demand for RNA polymerase.

Authors:  Alex R Hall; James C Iles; R Craig MacLean
Journal:  Genetics       Date:  2011-01-10       Impact factor: 4.562

Review 6.  Molecular and cellular bases of adaptation to a changing environment in microorganisms.

Authors:  Clara Bleuven; Christian R Landry
Journal:  Proc Biol Sci       Date:  2016-10-26       Impact factor: 5.349

Review 7.  Antimicrobial resistance and virulence: a successful or deleterious association in the bacterial world?

Authors:  Alejandro Beceiro; María Tomás; Germán Bou
Journal:  Clin Microbiol Rev       Date:  2013-04       Impact factor: 26.132

8.  Strong Environment-Genotype Interactions Determine the Fitness Costs of Antibiotic Resistance In Vitro and in an Insect Model of Infection.

Authors:  C James Manktelow; Elitsa Penkova; Lucy Scott; Andrew C Matthews; Ben Raymond
Journal:  Antimicrob Agents Chemother       Date:  2020-09-21       Impact factor: 5.191

9.  Extreme Antagonism Arising from Gene-Environment Interactions.

Authors:  Thomas P Wytock; Manjing Zhang; Adrian Jinich; Aretha Fiebig; Sean Crosson; Adilson E Motter
Journal:  Biophys J       Date:  2020-10-15       Impact factor: 4.033

Review 10.  Trouble is coming: Signaling pathways that regulate general stress responses in bacteria.

Authors:  Susan Gottesman
Journal:  J Biol Chem       Date:  2019-06-13       Impact factor: 5.157

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